面向大数据通信的隐私保护与加密算法研究

Research on Privacy Protection and Encryption Algorithms for Big Data Communication

文章围绕大数据通信的隐私保护与加密算法展开研究,旨在解决大数据通信中存在的安全挑战,提高信息传输的隐私保护水平。通过对现有隐私保护技术和加密算法的概述,深入探讨数据匿名化、访问控制与身份验证、差分隐私技术等隐私保护方面的研究,并优化研究对称加密算法、非对称加密算法、混合加密方案等,以提高其在大数据通信中的效率和安全性。通过技术的实现与性能评估,验证文章所提出的隐私保护技术的可行性和实用性,为大数据通信安全提供一定的理论和技术支持。

This paper focuses on the research of privacy protection and encryption algorithms in the context of big data communication,aiming to address the security challenges existing in large-scale data transmission and enhance the level of privacy protection in information exchange.By providing an overview of existing privacy protection technologies and encryption algorithms,the study delves into the research of privacy protection techniques such as data anonymization,access control and identity authentication,as well as the optimization of encryption algorithms including symmetric encryption,asymmetric encryption,and hybrid encryption schemes.The paper emphasizes improving the efficiency and security of these algorithms in the context of big data communication.Through technical implementation and performance evaluation,the feasibility and practicality of the proposed privacy protection techniques are validated,offering theoretical and technical support for enhancing the security of big data communication.